作者: Zhao Li , Zhanlin Liu , Jiaming Huang , Geyu Tang , Yucong Duan
DOI: 10.1109/ACCESS.2019.2957306
关键词: Graph embedding 、 Convolutional neural network 、 Heterogeneous network 、 Recommender system 、 Graph (abstract data type) 、 Computer science 、 Matrix completion 、 Graph 、 Data mining
摘要: Link prediction is a demanding task in real-world scenarios, such as recommender systems, which targets to predict the unobservable links between different objects by learning network …